Xiaodan Liang
Impact in
- Computer Vision and Pattern Recognition top 0.05%
- Advanced Neural Network Applications
- Multimodal Machine Learning Applications
- Advanced Image and Video Retrieval Techniques
- Video Surveillance and Tracking Methods
- Human Pose and Action Recognition
- Generative Adversarial Networks and Image Synthesis
- Artificial Intelligence top 0.1%
- Domain Adaptation and Few-Shot Learning
- Topic Modeling
Papers in
-
- Multimodal Machine Learning Applications 91
- Advanced Neural Network Applications 76
- Advanced Image and Video Retrieval Techniques 49
- Human Pose and Action Recognition 35
- Generative Adversarial Networks and Image Synthesis 28
-
- Domain Adaptation and Few-Shot Learning 75
- Topic Modeling 59
- Natural Language Processing Techniques 37
- Co-authors
- Liang Lin (65 shared papers)Shuicheng Yan (20 shared papers)Xiaohui Shen (16 shared papers)Jiashi Feng (11 shared papers)Eric P. Xing (35 shared papers)Yunchao Wei (16 shared papers)Xiaojun Chang (31 shared papers)Ke Gong (9 shared papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine Intelligence (17 papers)IEEE Transactions on Neural Networks and Learning Systems (8 papers)IEEE Transactions on Multimedia (6 papers)IEEE Transactions on Circuits and Systems for Video Technology (3 papers)IEEE Transactions on Image Processing (3 papers)
- Partner nations
- ChinaUnited StatesSweden
In The Last Decade
Xiaodan Liang
254 papers receiving 12.4k citations
Xiaodan Liang's Hit Papers
Peers
Comparison fields: 5 of 169
- Computer Vision and Pattern Recognition 9.7k
- Artificial Intelligence 5.0k
- Computer Graphics and Computer-Aided Design 287
- Health Informatics 88
- Media Technology 584
Countries citing papers authored by Xiaodan Liang
This map shows the geographic impact of Xiaodan Liang's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Xiaodan Liang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaodan Liang more than expected).
Fields of papers citing papers by Xiaodan Liang
This network shows the impact of papers produced by Xiaodan Liang. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Xiaodan Liang. The network helps show where Xiaodan Liang may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaodan Liang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 268 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Is Faster R-CNN Doing Well for Pedestrian Detection? Hit paper breakdown → | 2016 | 652 |
| 2 | Object Region Mining with Adversarial Erasing: A Simple Classification to Semantic Segmentation Approach Hit paper breakdown → | 2017 | 616 |
| 3 | Scale-aware Fast R-CNN for Pedestrian Detection Hit paper breakdown → | 2017 | 587 |
| 4 | STC: A Simple to Complex Framework for Weakly-Supervised Semantic Segmentation Hit paper breakdown → | 2016 | 444 |
| 5 | Meta R-CNN: Towards General Solver for Instance-Level Low-Shot Learning Hit paper breakdown → | 2019 | 411 |
| 6 | Look into Person: Self-Supervised Structure-Sensitive Learning and a New Benchmark for Human Parsing Hit paper breakdown → | 2017 | 343 |
| 7 | Toward Characteristic-Preserving Image-Based Virtual Try-On Network Hit paper breakdown → | 2018 | 262 |
| 8 | 2018 | 262 | |
| 9 | 2018 | 255 | |
| 10 | 2016 | 236 | |
| 11 | 2019 | 224 | |
| 12 | 2016 | 219 | |
| 13 | 2015 | 214 | |
| 14 | 2016 | 195 | |
| 15 | 2018 | 187 | |
| 16 | 2018 | 183 | |
| 17 | 2015 | 174 | |
| 18 | 2017 | 166 | |
| 19 | 2017 | 164 | |
| 20 | 2020 | 150 |
About Xiaodan Liang
Xiaodan Liang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Computational Mechanics, Control and Systems Engineering and Aerospace Engineering, having authored 268 papers that have together received 12.7k indexed citations. Recurring topics across this work include Multimodal Machine Learning Applications (91 papers), Advanced Neural Network Applications (76 papers), Domain Adaptation and Few-Shot Learning (75 papers), Topic Modeling (59 papers), Advanced Image and Video Retrieval Techniques (49 papers), Natural Language Processing Techniques (37 papers), Human Pose and Action Recognition (35 papers) and Generative Adversarial Networks and Image Synthesis (28 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (9.7k citations), Artificial Intelligence (5.0k citations), Computer Graphics and Computer-Aided Design (287 citations), Health Informatics (88 citations) and Media Technology (584 citations). Xiaodan Liang has collaborated with scholars based in China, United States and Sweden. Frequent co-authors include Liang Lin, Shuicheng Yan, Xiaohui Shen, Jiashi Feng, Eric P. Xing, Yunchao Wei, Xiaojun Chang, Ke Gong, Hang Xu and Yao Zhao. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Multimedia, IEEE Transactions on Circuits and Systems for Video Technology and IEEE Transactions on Image Processing.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.